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http://dx.doi.org/10.22937/IJCSNS.2021.21.5.11

APPLICATION OF PROJECT MANAGEMENT: LEAN TECHNOLOGIES AND SAVING MANUFACTURING (ASPECTS OF MANAGEMENT AND PUBLIC ADMINISTRATION)  

Kulinich, Tetiana (Lviv Polytechnic National University)
Berezina, Liudmyla (Poltava State Agrarian Academy)
Bahan, Nadiia (Poltava State Agrarian Academy)
Vashchenko, Iryna (Taras Shevchenko National University of Kyiv)
Huriievska, Valentyna (National Academy of Public Administration, Office of the President of Ukraine)
Publication Information
International Journal of Computer Science & Network Security / v.21, no.5, 2021 , pp. 57-68 More about this Journal
Abstract
Successfully adapting to digital and customer-oriented transformation, the concept of lean manufacturing professes the philosophy of creating greater benefit while minimizing losses. These losses are operations that do not add value in the production process to ensure the efficiency, flexibility, and profitability of projects. In the context of broad automation and digitalization of all sectors of the economy, mechanisms for combining automation technologies and lean production are becoming available. Moreover, when it comes to the efficient use of financial, human, or material resources, it is clear that the use of Industry 4.0 technologies can be an effective tool for achieving the goals of lean production, as many of them pursue the same goal. In this context, this article aims to study the effectiveness of the implementation of project management concepts at the global level and identify the main factors influencing its effectiveness to ensure the achievement of lean production through LEAN technologies and Industry 4.0 technologies. To achieve this goal, several statistical indicators were selected and several statistical methods of analysis were used: pairwise correlation, regression analysis, methods of comparison, synthesis, and generalization. Statistical analysis was conducted according to a survey conducted by the Project Management Institute (PMI) in 2020. An economic-mathematical model of dependence of project effectiveness in different regions of the world on the level of implementation of project management approaches is built, which shows that the increase in project effectiveness by 85% is due to financial losses, technical training, and consumer orientation. These results allow project managers to develop appropriate strategies to improve project management approaches at all levels. It is established that LEAN technologies and technologies of Industry 4.0 have several tools that have a positive effect on minimizing losses following the concept of lean production. Besides, given that the technology of Industry 4.0 is focused on the automation of Lean Production technology, a mechanism for the introduction of lean production using these technologies and methods.
Keywords
project management; LEAN-technologies; Industry 4.0; lean production; global level; regression model; losses;
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1 Alkhoraif, A., Rashid, H., McLaughlin, P. (2019). Lean Implementation in Small and Medium Enterprises: Literature Review. Operations Research Perspectives, 6, 89-100.
2 Axelos (2019). The PPM Benchmarking Report.
3 Moldner, A.K., Garza-Reyes, J.A., Kumar, V. (2020). Exploring Lean Manufacturing Practices' Influence on Process Innovation Performance. Journal of Business Research, 106, 233-249.   DOI
4 Hoellthaler, G., Braunreuther, S., Reinhart, G. (2018). Digital lean production - An approach to identify potentials for the migration to a digitalized production system in SMEs form a lean perspective. Procedia CIRP, 67 S., 522-527.   DOI
5 Brocal, F., Gonzalez, C., Sebastian, M. A. (2018).Technique to Identify and Characterize New and Emerging Risks: A New Tool for Application in Manufacturing Processes, Safety Science, 109, 144-156.   DOI
6 Dombrowski, U., Richter, T. (2018). The Lean Production System 4.0 Framework - Enhancing Lean Methods by Industrie 4.0. In: Moon, I. et al. (Hrsg.): Smart manufacturing for industry 4.0. Springer-Verlag, S. 410-416.
7 Dong, F., Wang, Y., Su, B., Hua, Y., Zhang, Y. (2019). The Process of Peak CO2 Emissions in Developed Economies: A Perspective of Industrialization and Urbanization, Resources, Conservation & Recycling, 141, 61-75.   DOI
8 Kovacevic, M., Jovicic, M., Djapan, M., Zivanovic-Macuzic, I. (2016). Lean Thinking in Healthcare: Review of Implementation Results. International Journal for Quality Research, 10, 1, 219-229.
9 Manfredsson, P. (2016). Textile Management Enabled by Lean Thinking: A Case Study of Textile SMEs. Production Planning & Control, 27, 7-8, 541-549.
10 Bilberg, A. (2003). Flexible hybrid lean automation. Proceedings from: the 17th International DAAAM Symposium.
11 Caldera, H.T.S., Desha, C., Dawes, L. (2017). Exploring the Role of Lean Thinking in Sustainable Business Practice: A Systematic Literature Review. Journal of Cleaner Production, 67, 1546-1565.   DOI
12 Hartmann, L., Meudt, T., Seifermann, S., Metternich, J. (2018). Value stream method 4.0: holistic method to analyse and design value streams in the digital age. Procedia CIRP, 78 S., 249-254.
13 Kolberg, D. & Zuhlke, D. (2015). Lean Automation enabled by Industry 4.0 Technologies. IFAC-PapersOnLine, 48, 3S., 1870-1875.   DOI
14 Pfaffenzeller, M.S., Silva, G.G.M.P., Barros, A.L., Shinji, G., Salles, M.P. (2015). Lean Thinking na Construcao Civil: Estudo da Utilizacao de Ferramentas Da Filosofia Lean em Diferentes Fluxos da Construcao Civil. Iberoamerican Journal of Industrial Engineering, 7, 14, 86-107.   DOI
15 Prinz, C., Kreggenfeld, N., Kuhlenkotter, B. (2018). Lean meets Industrie 4.0 - A practical approach to interlink the method world and cyber-physical world. Procedia Manufacturing, 23, S., 21-26.   DOI
16 Sree Lakshmi G., Rubanenko, O., Hunko I. (2020).Renewable Energy Generation and Impacts on E-Mobility. Journal of Physics: Conference Series, 1 - 5. doi:10.1088/1742-6596/1457/1/012009   DOI
17 VDI: Guideline 2870-Part 1. (2014). Lean Production Systems-Basic Principles, Introduction, and Review, vol. 2870-1. Beuth-Verlag, Berlin.
18 Jilcha, K. & Kitaw, D. (2015). Lean Philosophy for Global Competitiveness in Ethiopia Chemical Industries: Review, Journal of Computer Science and Systems Biology, 8, 6, 304-321.
19 Pipan, T. (2018). Neo-Industrialization Models and Industrial Culture of Small Towns. GeoScape, 12, 1, 10-16.   DOI
20 Pokorni, B., Schlund, S., Findeisen, S., Tomm, A., Euper, D., Mehl, D., Brehm, N., Ahmad, D., Ohlhausen, P., Palm, D. (2017). Produktionsassessment 4.0 - Entwicklung eines Reifegradmodells zur Bewertung der Lean Management und Industrie-4.0-Reife von produzierenden Unternehmen. ZWF Zeitschrift fur wirtschaftlichen Fabrikbetrieb, 112, 1-2. S., 20-24.   DOI
21 Kolberg, D., Knobloch, J., Zuhlke, D. (2016). Towards a lean automation interface for workstations, International Journal of Production Research. DOI: 10.1080/00207543.2016.1223384   DOI
22 Secchi, R., Camuffo, A. (2019). Lean Implementation Failures: The Role of Organizational Ambidexterity. International Journal of Production Economics, 210145-154.   DOI
23 Bekdik, B., Hall, D., Aslesen, S. (2016). Off-Site Prefabrication: What Does it Require from the Trade Contractor? Proceedings from: the 24th Annual Conference of the International Group for Lean Construction (IGLC 2016), Boston, USA.
24 Ruttimann, B.G., Stockli, M.T. (2016). Lean and Industry 4.0 - Twins, Partners, or Contenders? A Due Clarification Regarding the Supposed Clash of Two Production Systems. Journal of Service Science and Managemen, 9, 6.S., 485-500.   DOI
25 Lin, B., Omoju, O.E., Okonkwo, J.U. (2015). Impact of Industrialisation on CO2 Emissions in Nigeria. Renewable and Sustainable Energy Reviews, 52, 1228-1239.   DOI
26 Wagner, T., Hermann, C., Thiede, S. (2017). Industry 4.0 impacts on lean production systems. Procedia CIRP, 63S., 125-131.   DOI
27 Wellingtone, I.H., Kinz, A., Bernerstatter, R., Zellner, T. (2016). Lean smart maintenance - Implementation in the process industry. Productivity Management, 21(2), 41-43
28 Welo, T., Ringen, G. (2015). Investigating Lean Development Practices in SE Companies: A Comparative Study Between Sectors. Procedia Computer Science, 44, 234-243.   DOI
29 Ramos, A.R., Ferreira, J.C.E., Kumar, V., Garza-Reyes, J.A., Cherrafi, A. (2018). A Lean and Cleaner Production Benchmarking Method for Sustainability Assessment: A Study of Manufacturing Companies in Brazil. Journal of Cleaner Production, 177, 218-231.   DOI
30 Sanders, A., Elangeswaran, C., Wulfsberg, J. (2016). Industry 4.0 implies lean manufacturing: research activities in Industry 4.0 function as enablers forlean manufacturing. Journal of Industrial Engineering and Management, 9(3), 811-833.   DOI
31 Tezel, A., Koskela, L., Aziz, Z. (2018). Current Condition and Future Directions for Lean Construction in Highways Projects: A Small and Medium-Sized Enterprises (SMEs) Perspective. International Journal of Project Management, 36, 2267-286.
32 VDI 2870 (2013). Blatt 2: Lean production systems - List of methods.
33 Vlachos, I. (2015). Applying Lean Thinking in the Food Supply Chains: A Case Study. Production Planning & Control, 26, 16, 1351-1367.   DOI
34 Vostriakova, V., Kononova, O., Kravchenko, S., Ruzhytskyi, A. & Sereda, N. (2021). Optimization of Agri-Food Supply Chain in a Sustainable Way Using Simulation Modeling. IJCSNS International Journal of Computer Science and Network Security, 2(13), 245-256.
35 Wellingtone (2019). The State of Project Management Annual Report.
36 Project Management Institute. (2020). Research Highlights by Region and Industry. Retrieved from http//PMI.org/Pulse.